This article presents the use of Non-negative Matrix Factorization, a blind source separation algorithm, for the decomposition of human skin absorption spectra in its main pigments: melanin and hemoglobin. The evaluated spectra come from a Hyper-Spectral Image, which is the result of the processing of a Multi-Spectral Image by a neural network-based algorithm. The implemented source separation ...

Based on hyper spectral data mining techniques, field spectra data is used to study the diagnosable spectral signatures of uranium mineralization factors in this paper, and the spectral features of pluton, ore-controlling fault and hydrothermal alteration including alkali metasomatism, hematitization, chloritization and hydromicazation are acquired and analyzed, the diagnosable spectra identifi...

—A new invention of satellite hyper spectral (HS) sensors can acquire very comprehensive shadowlike information directly related to land surface materials. Change Detection (CD) is the procedure that recognizes the changes occurred between more than two images based on the image assets. In case like tragedy management, the quick and accurate discovery of precious regions in images obtained at t...

Denoising and Dimensionality Reduction (DR) are key issue to improve the classifiers efficiency for Hyper spectral images (HSI). The multi-way Wiener filtering recently developed is used, Principal and independent component analysis (PCA; ICA) and projection pursuit (PP) approaches to DR have been investigated. These matrix algebra methods are applied on vectorized images. Thereof, the spatial ...

Assessment of vegetation water content is critical for monitoring vegetation condition, detecting plant water stress, assessing the risk of forest fires and evaluating water status for irrigation. The main objective of this study was to investigate the performance of various monoand multi-variate statistical methods for estimating vegetation water content (VWC) from hyper-spectral data. Hyper-s...

The stabilization of high order spectral elements to solve the transport equations for tracers in the atmosphere remains an active topic of research among atmospheric modelers. This paper builds on our previous work on variational multiscale stabilization (VMS) and discontinuity capturing (DC) [Variational multiscale stabilization of high-order spectral elements for the advection-diffusion equa...

The paper presents results of using a neural network classifier to analyze images malignant skin lesions obtained hyper-spectral camera. Using three-block VGG architecture, we conducted the classification set two-dimensional melanoma, papilloma and basal cell carcinoma, in range 530 – 570 600 606 nm, characterized by highest absorption melanin hemoglobin. sufficiency inclusion training limited ...

Acute retinal pigment epithelitis (ARPE), also known as Krill's disease, was first described by Krill and Deutman in 1972 as a bilateral, benign, self limited disease [1]. There are many recent reports [2-5]. That describes the Spectral Domain Optical Coherence Tomography (SD-OCT) findings in ARPE. Lesions of the RPE, inner and outer segments of photoreceptors and external limiting membrane and...

To improve the accurate rate of classification multi-spectral remote sensing images, in this paper we construct a classification algorithm based on adaptive sparse representation (ASP). The geometrical explanation of ASP algorithm is to approximate the hyper-spherical cap with least hyper-planes, clustered the error vectors of each step, and signed the cluster center as new atoms which made the...

We present ASCA observations of the nearby galaxies Dwingeloo 1 (Dw1) and Maaei 1 (Mf1). X-ray sources are clearly detected within 3 arcminutes of the optical nuclei of both galaxies. Despite the low Galactic latitude of these elds (jbj < 1) we conclude, on probability and spectral grounds, that the detected sources are intrinsic to these galaxies rather than foreground or background interloper...